SMU H3 Notes Game TheoryEconomicsSMU H3sessions

H3 Game Theory Session 9

SMU H3 Game Theory Session 9 Notes

SMU H3 Map


Games of Incomplete Information

Nature

Strategies

Trade Wallet Game

Rules

W={5,6,7,...,55}\mathcal{W} = \{5, 6, 7, ..., 55\}

Strategies

{5,6,7,8,9,10,...,55}\{5, 6, 7, 8, 9, 10, ..., 55\} {k,k,s,s,s,s,...,k}\{k, k, s, s, s, s, ..., k\}

Iterative Deletion

For W=55W=55

For W=54W=54

For W=5W=5

Equilibrium #1

W1W_1ChoiceOutcome
5SWAPTrade if W2=5 W_2=5 , No Trade if W2>5W_2 > 5
6KEEPNo Trade
7KEEPNo Trade
55KEEPNo Trade

Homework

Behaviour Reveals Information

σ^2={KEEP if W2C2SWAP if W2<C2\hat \sigma_2 = \begin{cases} \text{KEEP} \space &\text{if } W_2 \ge C_2 \\ \text{SWAP} \space &\text{if } W_2 < C_2 \\ \end{cases}
W2W_2OutcomePayoffProbability
5Trade5151\frac{1}{51}
6Trade6151\frac{1}{51}
26Trade26151\frac{1}{51}
27No TradeW1W_1151\frac{1}{51}
28No TradeW1W_1151\frac{1}{51}
55No TradeW1W_1151\frac{1}{51}
E(π)1=5+6+7+...+2651+29W151\mathbb{E}(\pi)_1 = \frac{5+6+7+...+26}{51} + \frac{29W_1}{51} E(π)2=22W151+29W151\mathbb{E}(\pi)_2 = \frac{22W_1}{51} + \frac{29W_1}{51} 22W1515+6+7+...+2651\frac{22W_1}{51} \ge \frac{5+6+7+...+26}{51} W15+6+7+...+2622W_1 \ge \frac{5+6+7+...+26}{22} W115.5\therefore W_1 \ge 15.5 σ^1={KEEP if W1C1SWAP if W1<C1\hat \sigma_1 = \begin{cases} \text{KEEP} \space &\text{if } W_1 \ge C_1 \\ \text{SWAP} \space &\text{if } W_1 < C_1 \\ \end{cases}

Equilbrium #2

σ^1={KEEP if W1C1SWAP if W1<C1\hat \sigma_1 = \begin{cases} \text{KEEP} \space &\text{if } W_1 \ge C_1 \\ \text{SWAP} \space &\text{if } W_1 < C_1 \\ \end{cases} σ^2={KEEP if W1C2SWAP if W1<C2\hat \sigma_2 = \begin{cases} \text{KEEP} \space &\text{if } W_1 \ge C_2 \\ \text{SWAP} \space &\text{if } W_1 < C_2 \\ \end{cases}

Types of Signalling Equilibria

Pooling Equilibrium

Separating Equilibrium

Semi-Separating (Hybrid) Equilibrium

Signalling Games

Setup

Stages

Game Tree 1

Separating Equilibrium

Definition

Strategy

Alternative

Pooling Equilibrium

Definition

Strategy

Analysis

Game Tree 2

Separating Equilibrium

Strategy

Pooling Equilibrium

Strategy

Analysis

Set 1

Set 2

E(π)=α(2540)+(1α)(4540)E(π)=25α+45(1α)40E(π)=520α0\mathbb{E}(\pi) = \alpha(25-40) + (1-\alpha)(45-40) \\ \mathbb{E}(\pi) = 25\alpha + 45(1-\alpha) - 40 \\ \mathbb{E}(\pi) = 5 - 20\alpha \ge 0 20α+50α14-20\alpha + 5 \le 0 \\ \alpha \ge \frac{1}{4}

Conclusion

P(low MC  p)={α if p=17.50 if p=20P(\text{low MC} \space | \space p) = \begin{cases} \alpha \space &\text{if } p=17.5 \\ 0 \space &\text{if } p=20 \end{cases}

Semi-Separating Equilibrium

Strategy

P(2A)=α1=αP(2B)=(1α)qP(2A) = \alpha \cdot 1 = \alpha \\ P(2B) = (1 - \alpha) \cdot q

Conclusion (Favourable cases / Possible cases)

P(2A  {2A,2B})=α1α1+(1α)qP(2A \space | \space \{2A, 2B\}) = \frac{\alpha \cdot 1}{\alpha \cdot 1 + (1 - \alpha) \cdot q}
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